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DocumentEvaluation and management of recreation and aesthetic services in Qilian Mountain National Park, Qinghai Province, China
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Recreation and aesthetic services are an important part of ecosystem cultural services. Based on the UN’s Millennium Ecosystem Assessment (MA) framework, this study evaluated the value of ecosystem recreation and aesthetic services in Qilian Mountain National Park in Qinghai Province, China. The research mainly adopts Contingent Valuation Method (CVM) through the questionnaire survey of local residents and tourists in September 2016, the study obtained 1468 valid questionnaires, and uses the method of payment card to get consumers' willingness to pay (WTP), and then through the mean of total willingness to pay to estimate ecosystem recreation and aesthetic service value (ecological tourism and recreation and aesthetic value) for Qilian Mountain National Park. The results show that the ecosystem cultural service value of Qilian Mountain National Park in Qinghai Province in 2016 and 2018 is estimated at about 10.45 billion RMB yuan and 1.3 billion RMB yuan respectively. Among them, the annual average value of ecotourism and recreation in 2016 and 2018 is 203 million RMB yuan and 332 million RMB yuan separately, and the yearly average value of aesthetics is 842 million RMB yuan and 968 million RMB yuan respectively. The study also discussed about the management of ecosystem recreation and aesthetic services, the management should focus on improve the nature of aesthetic value in Qilian Mountain National Park, and making its construction into a demonstration zone can be copied, can draw lessons from the national park and ecological demonstration centers of culture, and strengthen the aesthetic services resources asset-like management and so on in Qilian Mountain National Park. Keywords: Economic Development, Sustainable forest management, Human health and well-being, Policies, Governance ID: 3488407 -
ArticleSocioeconomic and ecological factors driving agriculture land use in community-forest landscapes in the middle hills of Nepal
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Cropland abandonment has been a global land management issue for several decades. Studying the factors contributing the cropland abandonment enable us to understand the dilemma facing agriculture land management and crucial for agricultural and natural resource policy development and implementation. Previous studies conducted to understand the cropland abandonment mostly overlooked multiple socioeconomic and biophysical factors, together with natural factors. We used a multi-level logistic regression model and quantitative analysis to investigate status and farmers' perceptions of cropland abandonment and analyzed factors contributing to it. We surveyed 415 households and collected 1264 land parcel profiles from 15 community forest user groups. Our results show an increasing trend of cropland abandonment due to multiple socioeconomic, ecological, and biophysical factors. The likelihood of cropland abandonment increased with household characteristics such as having more migrants, female-headed, non-agriculture occupation of household head and, having a larger amount of agriculture landholding. The study also showed that land parcels far from households, close to the forest edge, with shading effects, higher in slope, were more likely to be abandoned. This paper also identifies the effects of policy-relevant variables on choices to agriculture practices in the rural community of Nepal. ID: 3478783 -
ArticleAllometric equation for estimating tree above ground biomass modified by ecological environmental factors in tropical dipterocarp forests
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Tropical Dipterocarp Forest (DF) plays an important role in mitigating climate change thanks to its carbon sequestration capacity. In order to estimate the CO2 absorption capacity of DF as a basis for the development of forest ecological services, a system of biomass equations is needed; while very few models for estimating biomass in DF have been published and have not yet reflected the impact of ecological environmental factors. The purpose of the study was to validate and select the best model for estimating tree above ground biomass (AGB, kg) in DF under the influence of ecological environmental factors, thereby improving the reliability. Twenty-eight 0.25 ha plots in the Central Highlands and one 1 ha plot in the Southeast ecoregion in Viet Nam were measured. A total of 329 trees were destructively sampled to obtain a dataset of AGB; Methods for developing equations were weighted nonlinear fixed/mixed models with/without random effects fit by Maximum Likelihood; Using K-fold cross validation with K = 10, we compared and selected the best model with and without ecological environmental factors. As a result, separate ecological environmental factors did not affect AGB, while the combination of the factors influences the AGB model through the form: AGB = AVERAGE × MODIFIER, AGB = a × Db ×WDd × exp (e2 × (P - 1502) + e3 × (BA - 12.62)) that was significantly more reliable than a model without these factors involved; where D (cm), WD (g / cm3), P (mm year-1) and BA (m2 ha-1) are the diameter at breast height, wood density, averaged annual rainfall and total basal area of forest stand, respectively. Keywords: above ground biomass, dipterocarp forest, ecological factor ID: 3473259
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